Presskey- a keystrokes dynamics based authentication system

Abstract

Bio-metric systems have been applied to improve the security of several computational systems. These systems analyses physiological or behavioural features obtained from the users in order to perform authentication. Bio-metric features should ideally meet a number of requirements, including permanence. In bio-metrics, permanence means that the analysed bio-metric feature will not change over time. However, recent studies have shown that this is not the case for several bio-metric modalities. Adaptive bio-metric systems deal with this issue by adapting the user model over time. Some algorithms for adaptive bio-metrics have been investigated and compared in the literature. In machine learning, several studies show that the combination of individual techniques in ensembles may lead to more accurate and stable decision models.